The use of agricultural robots in weed management and control

2019 ◽  
pp. 161-186 ◽  
Author(s):  
Brian Steward ◽  
◽  
Jingyao Gai ◽  
Lie Tang ◽  
◽  
...  
Keyword(s):  
Weed Management ◽  
Agricultural Robots ◽  
And Control

scholarly journals RESEARCH ON REMOTE OPERATING SYSTEM OF PICKING ROBOT BASED ON BIG DATA AND WIFI

2021 ◽  
pp. 447-456
Author(s):  
Beibei Sun
Keyword(s):  
Operating System ◽  
Big Data ◽  
Remote Monitoring ◽  
Agricultural Production ◽  
Recognition System ◽  
Main Mode ◽  
Agricultural Robots ◽  
Remote Monitoring System ◽  
Modern Agriculture ◽  
And Control

Agricultural mechanization has become the main mode of agricultural production and represents the development direction of modern agriculture. The amount of data generated in the agricultural production process is extremely huge, so it is necessary to introduce the concept and analysis method of big data. Combining agricultural robots with big data can improve the performance and application effect of robots. This paper combines big data, WLAN technology and robot technology to realize man-machine remote cooperation platform. This gives full play to the advantages that people are good at object recognition and robots are good at execution, and improves the fruit picking efficiency. The target fruit positioning and recognition system aided by machine vision is adopted to realize the accurate positioning of the fruit to be picked. Design of LFM control signal fitting based on big data clustering. In order to verify the feasibility of the scheme, taking the tomato picking robot as an example, the communication error and control accuracy using big data and WIFI (Wireless Fidelity) technology were tested, and the positioning and navigation efficiency with and without remote monitoring system was compared. Test results show that using big data and WIFI remote monitoring technology can effectively improve the efficiency and accuracy of positioning and navigation of remote operating system, which is of great significance for the design of automatic control system of picking robot.

scholarly journals A linuron-free weed management strategy for carrots

2019 ◽  
Vol 33 (03) ◽  
pp. 464-474
Author(s):  
Tessa de Boer ◽  
Peter Smith ◽  
Kevin Chandler ◽  
Robert Nurse ◽  
Kristen Obeid ◽  
...  
Keyword(s):  
Effective Dose ◽  
Pest Management ◽  
Weed Management ◽  
Management Strategy ◽  
Seedling Emergence ◽  
Growing Season ◽  
Field Trials ◽  
Organic Soils ◽  
Biologically Effective Dose ◽  
And Control

AbstractThe development of a linuron-free weed management strategy for carrot production is essential as a result of the herbicide reevaluation programs launched by the Pest Management Regulatory Agency in Canada for herbicides registered before 1995 and the discovery of linuron-resistant pigweed species in Ontario. Field trials were conducted in one of Ontario’s main carrot-growing regions on high organic soils in 2016 and 2017. Pigweed species seedlings were effectively controlled with PRE treatments of prometryn, pendimethalin, S-metolachlor, or glufosinate. POST treatments of pyroxasulfone and metribuzin followed by predetermined biologically effective dose (≥90% control of pigweed seedlings) of acifluorfen, oxyfluorfen, fluthiacet-methyl, and fomesafen achieved excellent crop selectivity and commercially acceptable pigweed species seedling control under field conditions. Carfentrazone-ethyl or fomesafen applied PRE severely reduced seedling emergence and yield in the wet growing season of 2017. This study demonstrated clearly that an alternative linuron-free strategy can be developed for carrots. The strategy of exploring the potential to use the biologically effective dose of selected herbicides to achieve crop selectivity and control of pigweed species seedlings was verified.

scholarly journals Soft Robotics as an Enabling Technology for Agroforestry Practice and Research

2019 ◽  
Vol 11 (23) ◽  
pp. 6751 ◽  
Author(s):  
Girish Chowdhary ◽  
Mattia Gazzola ◽  
Girish Krishnan ◽  
Chinmay Soman ◽  
Sarah Lovell
Keyword(s):  
New Technologies ◽  
Soft Robotics ◽  
Enabling Technology ◽  
Robotic Arms ◽  
Profit Margins ◽  
Agricultural Robots ◽  
Agroforestry Practice ◽  
Human Labor ◽  
Design And Manufacture ◽  
And Control

The shortage of qualified human labor is a key challenge facing farmers, limiting profit margins and preventing the adoption of sustainable and diversified agroecosystems, such as agroforestry. New technologies in robotics could offer a solution to such limitations. Advances in soft arms and manipulators can enable agricultural robots that can have better reach and dexterity around plants than traditional robots equipped with hard industrial robotic arms. Soft robotic arms and manipulators can be far less expensive to manufacture and significantly lighter than their hard counterparts. Furthermore, they can be simpler to design and manufacture since they rely on fluidic pressurization as the primary mechanisms of operation. However, current soft robotic arms are difficult to design and control, slow to actuate, and have limited payloads. In this paper, we discuss the benefits and challenges of soft robotics technology and what it could mean for sustainable agriculture and agroforestry.

scholarly journals Design and control of a heavy material handling manipulator for agricultural robots

2008 ◽  
Vol 25 (3) ◽  
pp. 189-204 ◽  
Author(s):  
Satoru Sakai ◽  
Michihisa Iida ◽  
Koichi Osuka ◽  
Mikio Umeda
Keyword(s):  
Material Handling ◽  
Agricultural Robots ◽  
And Control

scholarly journals Effects of weed management and plant arrangements on yield index of sweet sorghum

2019 ◽  
Vol 35 (4) ◽  
Author(s):  
Ronaldo Matias Reis ◽  
Matheus Souza Freitas ◽  
Daniel Valadão Silva ◽  
Gustavo Antônio Mendes Pereira ◽  
Ana Beatriz Rocha de Jesus Passos ◽  
...  
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Sweet Sorghum ◽  
Control Method ◽  
Block Design ◽  
Stem Diameter ◽  
Soluble Solids ◽  
Fresh Matter ◽  
Randomized Block Design ◽  
And Control

Sweet sorghum is currently an important alternative for ethanol production in sugar cane off-season. In this study was to evaluate the effects of plant arrangements and the application of atrazine and S-metolachlor on growth and productivity of sweet sorghum. An experiment was conducted in randomized block design and, arranged in split plots with four repetitions. Plots consisted of spacing (0.25 m, 0.45 m 0.45-0.45-0.90 m) and sub-plots of weed control methods - atrazine (2000 g ha-1), atrazine + S-metolachlor (2000 + 720 g ha-1), atrazine + S-metolachlor (2000 + 960 g ha-1), atrazine + S-metolachlor (2000 + 1200 g ha-1), atrazine + S-metolachlor (2000 + 1440 g ha-1). Besides that, manual hoeing control was added. The intoxication of sorghum plants and weed control was evaluated at 7, 14 e 28 days after herbicides application (DAA). Plant height, stem diameter, total fresh matter, juice mass and total soluble solids (°Brix) were evaluated at 120 days after crop emergence (DAE).  There was no interaction between the factors spacings and control method for variables total matter fresh (TMF), height (H), stem diameter (D), juice mass (JM), and Brix. Application of the mixture (atrazine + S-metolachlor) in the highest doses reduced total fresh matter and °Brix. The spacing of 0.25 m provided the highest productivity of fresh matter, juice mass and increased the °Brix. The application of mixture (atrazine + S-metolachlor) controlled 90% of the weeds at 28 days after application. The increasing in doses of S-metolachlor elevates the intoxication in sorghum plants. The mixture (atrazine + S-metolachlor) has a potential for use in weed control in sweet sorghum, but at doses below 960 g ha-1 of S-metolachlor. metolachlor.

scholarly journals (416) Weed Management in Organic Sweet Corn

HortScience ◽  
2005 ◽  
Vol 40 (4) ◽  
pp. 1071E-1072
Author(s):  
Anthony Silvernail
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Sweet Corn ◽  
Management Strategies ◽  
Organic Production ◽  
Control Methods ◽  
Weed Biomass ◽  
Corn Gluten ◽  
And Control ◽  
Smooth Pigweed

Organic weed control in direct seeded vegetables depends on management strategies that control weed germination or growth which depletes the weed seedbank. In 2004, a randomized complete-block experiment conducted on land transitioning to organic production examined the effects of tillage and control treatments on weed pressure in sweet corn [Zeamays (L.) cv. Silver Queen]. The two tillage treatments consisted of conventional (moldboard and rototill) and spader tillage. Weed control treatments included a weed free control, a spring-tine weeder, rolling cultivator, row flamer, stale seedbed, and corn gluten meal. In August, the weed infestation was primarily goose grass [Eleusineindica (L.) Gaertn.], crab grass [Digitariasanguinalis (L.) Scop.], giant foxtail (Setariafaberi Herrm.), and smooth pigweed [Amaranthushybridus (L.)] species. Dried weed weights indicated that smooth pigweed constituted about 80% of the total weed biomass in all but the control and flamer treatments. Plots managed with the spring-tine weeder or corn gluten had twice the weed biomass of those managed with the rolling cultivator and flamer. The rolling cultivator and control treatments produced equivalent husked corn yields (6.9 t·ha-1); yields were reduced by the other weed control methods. At 5.4 t·ha-1, yields in the flamer treatment were the lowest among all weed control methods. The flamer suppressed both weeds and the crop, which may preclude its utility for sweet corn production. Results demonstrated that the rolling cultivator provided the best weed control without negatively affecting potential yields.

Bounty Programs — An Effective Weed Management Tool

1988 ◽  
Vol 2 (2) ◽  
pp. 196-197
Author(s):  
Celestine A. Lacey ◽  
Charles Egan ◽  
Wayne Pearson ◽  
Peter K. Fay
Keyword(s):  
Weed Management ◽  
Media Coverage ◽  
Cost Effective ◽  
Management Tool ◽  
Spotted Knapweed ◽  
Educational Tool ◽  
Public Concern ◽  
Control Effort ◽  
Extension Agent ◽  
And Control

Residents in Stillwater County, MT, used a weed bounty program as an educational tool to promote awareness, detection, and control of spotted knapweed (Centaurea maculosaLam. # CENMA) on range and noncropland. Many people became involved with the weed control effort, weed awareness was increased, spotted knapweed was controlled, and the program was cost effective. The success of a weed bounty program is influenced by 1) the enthusiasm and innovations of the county extension agent, weed supervisor, or other key individual or group in the community; 2) the choice of the weeds selected; and 3) good media coverage of the bounty program. With proper planning and organization, weed bounty programs effectively promote awareness and action in other areas of public concern.

Weed Management in Peanut (Arachis hypogaea) with Flumioxazin Preemergence

1999 ◽  
Vol 13 (3) ◽  
pp. 594-598 ◽  
Author(s):  
Shawn D. Askew ◽  
John W. Wilcut ◽  
John R. Cranmer
Keyword(s):  
Arachis Hypogaea ◽  
Weed Management ◽  
Chenopodium Album ◽  
Cyperus Esculentus ◽  
Common Lambsquarters ◽  
Yellow Nutsedge ◽  
Pitted Morningglory ◽  
Sida Spinosa ◽  
Prickly Sida ◽  
And Control

Flumioxazin plus metolachlor mixtures preemergence (PRE) were evaluated with or without postemergence (POST) herbicides for weed control and peanut (Arachis hypogaea) response in three North Carolina studies. Metolachlor PRE at 2.24 kg ai/ha controlled goosegrass (Eleusine indica) and yellow nutsedge (Cyperus esculentus) 93 and 80%, respectively, and control was not improved with flumioxazin or norflurazon. Metolachlor plus flumioxazin PRE at 0.07 or 0.11 kg ai/ha controlled common lambsquarters (Chenopodium album); entireleaf (Ipomoea hederaceavar.integriuscula), ivyleaf (I. hederacea), and pitted morningglory (I. lacunosa); and prickly sida (Sida spinosa) better than metolachlor plus norflurazon PRE at 1.34 kg ai/ha. Morningglories (Ipomoeaspp.) were controlled 77 and 86% with flumioxazin PRE at 0.07 and 0.11 kg/ha, respectively, and control was increased to nearly 100% with acifluorfen plus 2,4-DB or lactofen plus 2,4-DB POST. Peanut injury by flumioxazin and norflurazon was observed at one location in 1997; however, yields were not reduced. Peanut treated with metolachlor plus flumioxazin PRE at either rate yielded at least 3,750 kg/ha compared to 3,120 kg/ha with metolachlor plus norflurazon PRE or 1,320 kg/ha with metolachlor PRE.

Sign in / Sign up

Export Citation Format

Share Document